Senior Software Engineer, Search AI Quality

Job description

Focus on improving Search AI quality in Verticals, specifically Live Events Factuality and Freshness for topics like live sports, stock quotes, weather, and travel. Work closely with teams across Search Verticals, Search Intelligence, and DeepMind to address critical quality gaps on high-visibility queries in Search and AI Mode. Engage in horizontal factuality quality programs across Search and GDM, and proactively identify new factuality quality gaps within Vertical slices. Build or enhance automated evals to speed up error detection and establish self-improvement loops. Design and run experiments to enhance quality and minimize errors in AI-generated responses, while actively representing SVI in cross-Search forums. Minimum Qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience programming in one or more general-purpose programming languages including, but not limited to, Java, C/C++, Python, JavaScript, or Go. Experience conducting exploratory data analysis using programming languages (e.g., R, Python) and database querying (e.g., SQL). Experience evaluating search quality or user interaction data to improve query relevance and search results. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Experience developing applications using Large Language Models (LLMs), agentic architectures, or Generative AI evaluation methodologies. Experience leading technical projects through the full development lifecycle, including design, implementation, experimentation, and deployment. Experience collaborating with cross-functional partners to prioritize tasks, execute project workstreams, and communicate progress. Experience applying AI-assisted development tools or autonomous agent coding to build and prototype software features.